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Atlas of Macroscopes
A fascinating data adventure through the lens of macroscopes, which offer us illuminating and holistic views of our ever-changing world. In Atlas of Macroscopes, Katy Börner, Elizabeth Record, and Todd Theriault take you on an epic data adventure. You will explore data landscapes, designed as uniquely interactive spaces, and learn more about our world and your place in it. You will gain new perspectives on how to gather, understand, and communicate data, as well as how to best use it. You will discover what it means to “touch” data that informs and inspires. Transcending the static nature of the maps featured in the initial trilogy, this fourth Atlas showcases 40 real-life macroscopes, ...
Official Gazette
None
Advances in Condensed Matter and Statistical Physics
This book collects recent results in systems whose evolutions are dominated by fluctuations, driven systems in which the way to dissipate driving forces is relevant, and systems in which disorder induces highly non-trivial dynamics leading naturally to questions of computational complexity. Topics of the 14 papers include multiplicative noise in non-equilibrium phase transitions, the stochastic population dynamics of spiking neurons, anomalous velocity distributions in elastic Maxwell gases, universality issues in surface kinetic roughening of thin solid films, and multi-state neural networks based upon spin glasses. Some of the chapters have appeared in the arXiv.org database. No information is given about the authors. Annotation : 2004 Book News, Inc., Portland, OR (booknews.com).
Social Sensing and Big Data Computing for Disaster Management
Social Sensing and Big Data Computing for Disaster Management captures recent advancements in leveraging social sensing and big data computing for supporting disaster management. Specifically, analysed within this book are some of the promises and pitfalls of social sensing data for disaster relevant information extraction, impact area assessment, population mapping, occurrence patterns, geographical disparities in social media use, and inclusion in larger decision support systems. Traditional data collection methods such as remote sensing and field surveying often fail to offer timely information during or immediately following disaster events. Social sensing enables all citizens to become ...
Simulating Social Complexity
This volume examines all aspects of using agent or individual-based simulation. This approach represents systems as individual elements having their own set of differing states and internal processes. The interactions between elements in the simulation represent interactions in the target systems. What makes this "social" is that it can represent an observed society. Social systems include all those systems where the components have individual agency but also interact with each other. This includes human societies and groups, but also increasingly socio-technical systems where the internet-based devices form the substrate for interaction. These systems are central to our lives, but are among...
Temporal Networks
The concept of temporal networks is an extension of complex networks as a modeling framework to include information on when interactions between nodes happen. Many studies of the last decade examine how the static network structure affect dynamic systems on the network. In this traditional approach the temporal aspects are pre-encoded in the dynamic system model. Temporal-network methods, on the other hand, lift the temporal information from the level of system dynamics to the mathematical representation of the contact network itself. This framework becomes particularly useful for cases where there is a lot of structure and heterogeneity both in the timings of interaction events and the network topology. The advantage compared to common static network approaches is the ability to design more accurate models in order to explain and predict large-scale dynamic phenomena (such as, e.g., epidemic outbreaks and other spreading phenomena). On the other hand, temporal network methods are mathematically and conceptually more challenging. This book is intended as a first introduction and state-of-the art overview of this rapidly emerging field.
Physical Review
Publishes papers that report results of research in statistical physics, plasmas, fluids, and related interdisciplinary topics. There are sections on (1) methods of statistical physics, (2) classical fluids, (3) liquid crystals, (4) diffusion-limited aggregation, and dendritic growth, (5) biological physics, (6) plasma physics, (7) physics of beams, (8) classical physics, including nonlinear media, and (9) computational physics.
Disordered and Complex Systems
Casting a wide meaning for the terms disorder and complexity in order to gather researchers from many disciplines, the meeting covered glassy systems and neural networks, information geometry, quantum dynamics and quantum chaos, reaction-diffusion equations, and new directions in mathematical finance. The 50 papers include such discussions as the glassy dynamics of a two-dimensional non- disordered spin model, dualistic properties of the manifold of quantum states, applying the statistical mechanics of random matrices to disordered metals, steady states and long-time asymptotics of solutions of Steater's models, and scaling and multiscaling in financial markets. There is no subject index. c. Book News Inc.
